aiXcoder代码智能体应用入选北京市AI典型案例

Core Insights - aiXcoder's application in the communication sector has been recognized as a typical case of artificial intelligence empowering industry development at the 2025 Global Digital Economy Conference [1][5] Group 1: Technology and Innovation - aiXcoder, incubated by Peking University's Software Engineering Research Institute, focuses on deep applications of artificial intelligence in software engineering [3] - The code agent, equipped with Model Context Protocol (MCP), simulates human developer capabilities such as task planning, logical reasoning, tool invocation, and self-reflection, significantly enhancing R&D efficiency [3][4] Group 2: Industry Application - The typical case selected for the communication industry addresses challenges such as long software development cycles, high costs, suboptimal performance of large models, and difficulties in ensuring code quality and security [3][4] - aiXcoder provides practical intelligent software development solutions across various communication business scenarios, including communication protocol and API development, software development for communication network devices, and automated generation of black-box testing scripts [4] Group 3: Development Workflow and Quality Assurance - aiXcoder constructs proprietary knowledge bases for communication enterprises through domain-specific data governance and advanced technologies, improving the accuracy of tasks like R&D Q&A, code generation, and test case generation [4] - The code agent enables intelligent assistance throughout the entire development process, integrating with established software engineering tools to create smart development workflows that reduce development cycles significantly [4] - Built-in features for defect detection, code review, and performance bottleneck identification enhance the robustness and security of underlying code in communication systems [4]